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WO2015200110A3 - Techniques for machine language translation of text from an image based on non-textual context information from the image - Google Patents

Techniques for machine language translation of text from an image based on non-textual context information from the image Download PDF

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Publication number
WO2015200110A3
WO2015200110A3 PCT/US2015/036603 US2015036603W WO2015200110A3 WO 2015200110 A3 WO2015200110 A3 WO 2015200110A3 US 2015036603 W US2015036603 W US 2015036603W WO 2015200110 A3 WO2015200110 A3 WO 2015200110A3
Authority
WO
WIPO (PCT)
Prior art keywords
text
image
context information
server
technique
Prior art date
Application number
PCT/US2015/036603
Other languages
French (fr)
Other versions
WO2015200110A2 (en
Inventor
Arne Mauser
Alexander Jay Cuthbert
John Sturdy Denero
Original Assignee
Google Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google Inc. filed Critical Google Inc.
Priority to EP15795248.2A priority Critical patent/EP3161667A2/en
Priority to CN201580033709.4A priority patent/CN106462574B/en
Priority to KR1020167036222A priority patent/KR101889052B1/en
Publication of WO2015200110A2 publication Critical patent/WO2015200110A2/en
Publication of WO2015200110A3 publication Critical patent/WO2015200110A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • G06F40/58—Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/768—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using context analysis, e.g. recognition aided by known co-occurring patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/63—Scene text, e.g. street names
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Machine Translation (AREA)
  • Character Discrimination (AREA)

Abstract

A computer-implemented technique can include receiving, at a server from a mobile computing device, the server having one or more processors, an image including a text. The technique can include obtaining, at the server, optical character recognition (OCR) text corresponding to the text, the OCR text having been obtained by performing OCR on the image. The technique can include identifying, at the server, non-textual context information from the image, the non-textual context information (i) representing context information other than the text itself and (ii) being indicative of a context of the image. The technique can include based on the non-textual context information, obtaining, at the server, a translation of the OCR text to a target language to obtain a translated OCR text. The technique can include outputting, from the server to the mobile computing device, the translated OCR text.
PCT/US2015/036603 2014-06-24 2015-06-19 Techniques for machine language translation of text from an image based on non-textual context information from the image WO2015200110A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP15795248.2A EP3161667A2 (en) 2014-06-24 2015-06-19 Techniques for machine language translation of text from an image based on non-textual context information from the image
CN201580033709.4A CN106462574B (en) 2014-06-24 2015-06-19 The method and server of machine language translation for the text from image
KR1020167036222A KR101889052B1 (en) 2014-06-24 2015-06-19 Techniques for machine language translation of text from an image based on non-textual context information from the image

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/313,670 US9436682B2 (en) 2014-06-24 2014-06-24 Techniques for machine language translation of text from an image based on non-textual context information from the image
US14/313,670 2014-06-24

Publications (2)

Publication Number Publication Date
WO2015200110A2 WO2015200110A2 (en) 2015-12-30
WO2015200110A3 true WO2015200110A3 (en) 2016-02-25

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2015/036603 WO2015200110A2 (en) 2014-06-24 2015-06-19 Techniques for machine language translation of text from an image based on non-textual context information from the image

Country Status (5)

Country Link
US (2) US9436682B2 (en)
EP (1) EP3161667A2 (en)
KR (1) KR101889052B1 (en)
CN (1) CN106462574B (en)
WO (1) WO2015200110A2 (en)

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CN110163121B (en) * 2019-04-30 2023-09-05 腾讯科技（深圳）有限公司 Image processing method, device, computer equipment and storage medium
CN111914830B (en) * 2019-05-07 2024-10-08 阿里巴巴集团控股有限公司 Text line positioning method, device, equipment and system in image
CN110569830B (en) * 2019-08-01 2023-08-22 平安科技（深圳）有限公司 Multilingual text recognition method, device, computer equipment and storage medium
US20230124572A1 (en) * 2020-01-08 2023-04-20 Google Llc Translation of text depicted in images
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KR102374280B1 (en) 2020-02-27 2022-03-16 주식회사 와들 Blocking System of Text Extracted from Image and Its Method
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Also Published As

Publication number Publication date
US20150370785A1 (en) 2015-12-24
KR101889052B1 (en) 2018-08-16
CN106462574A (en) 2017-02-22
WO2015200110A2 (en) 2015-12-30
US9436682B2 (en) 2016-09-06
US20160371256A1 (en) 2016-12-22
KR20170010843A (en) 2017-02-01
CN106462574B (en) 2019-07-12
EP3161667A2 (en) 2017-05-03

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